Learning High-dimensional Gaussian Graphical Models under Total Positivity without Adjustment of Tuning Parameters
Name
wang20g.pdf
Description
Published version
Size
736.36 KB
Format
Unknown
Checksum (MD5)
9ed731448ab82b24467c6502fd4039ba
Author(s)
Wang, Yuhao
Roy, Uma
Uhler, Caroline
Date Issued
2020
Journal
INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 108
Citation
Uhler, Caroline. 2020. "Learning High-dimensional Gaussian Graphical Models under Total Positivity without Adjustment of Tuning Parameters." INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 108, 108.
Version
Final published version
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
http://proceedings.mlr.press/v108/wang20g/wang20g.pdf
